Perspectives of family medicine residents on artificial intelligence for survival estimation in patients with serious illness. by Gemma Postill, Anglin Dent, Jill Dombroski, Amol A Verma, Jeff Myers, Tavis Apramian

“…As technology for artificial intelligence (AI) in medicine has rapidly proliferated, research is needed on how AI should be used in healthcare. …”
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Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women by Hanpei Miao, Sian Liu, Zehua Wang, Yu Ke, Linling Cheng, Wenyao Yu, Dihui Yu, Kang Zhang, Yuanxu Gao, Zhuo Sun

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LaborEase: An Artificial Intelligence-Based Wearable Electrohysterography Device for Preterm Pregnancy Detection by Muhammad Omar Cheema, Zia Mohy-Ud-Din, Abdullah Al Aishan, Jahan Zeb Gul

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The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management by Marwan Al-Raeei

“…Introduction and Aims: The future of oral oncology is significantly influenced by the incorporation of artificial intelligence (AI) technologies, such as surgical robotics and early histopathological diagnosis and detection of diseases. …”
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Artificial intelligence and machine learning in modern cardiology: Advancements in diagnosis, treatment and patient monitoring by Szymon Kopciał, Dawid Piecuch, Edyta Hańczyk, Karolina Kornatowska, Natalia Pawelec, Weronika Mazur

“… Introduction and purpose: Artificial intelligence (AI) and machine learning (ML) are impacting cardiology by enhancing diagnostic accuracy, personalizing treatment and optimizing patient care. …”
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Emotional intelligence among nurses in a general hospital setting in Jeddah, Saudi Arabia by Ibrahim Yahya Alhakami, Omar Ghazi Baker

“…AimEmotional intelligence (EI) is a prerequisite of nursing practice. …”
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Implications of Artificial Intelligence on Organizational Agility: A PLS-SEM and PLS-POS Approach by Simona Cătălina Ștefan, Ana Alexandra Olariu, Ștefan Cătălin Popa

“…Artificial intelligence (AI) has radically changed companies' vision of business development, based on its widespread assimilation in key organisational processes. …”
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Medical undergraduate students’ awareness and perspectives on artificial intelligence: A developing nation’s context by Laveeza H. Syeda, Zoya Batool, Zeeshan Hayder, Shabana Ali

“…Abstract Background Artificial intelligence (AI) is reshaping healthcare, yet its integration into medical education remains limited. …”
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Biosecurity measures reducing Salmonella spp. and hepatitis E virus prevalence in pig farms—a systematic review and meta-analysis by Nikolaus Huber, Marina Meester, Elena L. Sassu, Elisabeth S. L. Waller, Gergana Krumova-Valcheva, Giuseppe Aprea, Daniela D’Angelantonio, Veit Zoche-Golob, Silvia Scattolini, Emily Marriott, Richard P. Smith, Elke Burow, Elke Burow, Guido Correia Carreira

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Bimodal data analysis for early detection of lameness in dairy cows using artificial intelligence by Yashan Dhaliwal, Hangqing Bi, Suresh Neethirajan

“…To address the urgent need for early detection, we introduce a novel bimodal artificial intelligence (AI) framework that leverages both facial biometric data and accelerometer-based movement metrics. …”
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A Systematic Integration of Artificial Intelligence Models in Appendicitis Management: A Comprehensive Review by Ivan Maleš, Marko Kumrić, Andrea Huić Maleš, Ivan Cvitković, Roko Šantić, Zenon Pogorelić, Joško Božić

“…Artificial intelligence (AI) and machine learning (ML) are transforming the management of acute appendicitis by enhancing diagnostic accuracy, optimizing treatment strategies, and improving patient outcomes. …”
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Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review by Diana-Margarita Córdova-Esparza, Juan Terven, Julio-Alejandro Romero-González, Karen-Edith Córdova-Esparza, Rocio-Edith López-Martínez, Teresa García-Ramírez, Ricardo Chaparro-Sánchez

“…To address this complex issue, educational institutions increasingly rely on business intelligence (BI) and related predictive analytics, such as machine learning and data mining techniques. …”
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Impact of Artificial Intelligence on the Knowledge, Attitude, and Performance of Ophthalmology Residents: A Systematic Review by Alireza Najafi, Samane Babaei, Mohammd Mehdi Sadoughi, Masomeh Kalantarion, Ali Sadatmoosavi

“… This systematic review investigated the role of artificial intelligence (AI) in the knowledge, attitude, and performance of ophthalmology residents. …”
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Quantifying teachers’ readiness for artificial intelligence adoption in education: a mathematical modeling perspective by Musa Adekunle Ayanwale, Kabir Oluwatobi Idowu, Owolabi Paul Adelana, Sideeqoh Oluwaseun Shosanya, Oluwanife Segun Falebita, Kayode A. Adewale

“…Abstract We developed a mathematical model based on the classical SEIR (Susceptible–Exposed–Infective–Recovered) framework to predict teachers’ readiness to adopt Artificial Intelligence (AI) in educational settings, with a specific focus on Nigeria. …”
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Acute Psychological Stress Detection Using Explainable Artificial Intelligence for Automated Insulin Delivery by Mahmoud M. Abdel-Latif, Mudassir M. Rashid, Mohammad Reza Askari, Andrew Shahidehpour, Mohammad Ahmadasas, Minsun Park, Lisa Sharp, Lauretta Quinn, Ali Cinar

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The role of artificial intelligence in managing hospitalized patients with mental illness: a scoping review by Md Samiun, Moustaq Karim Khan Rony, Sumaiya Yeasmin, Mia Md Tofayel Gonee Manik, Anupom Debnath, Mustakim Bin Aziz, Afia Fairooz Tasnim, Sadia Islam Nilima

“…Abstract Background The use of artificial intelligence (AI) in psychiatric care has the potential to revolutionize the treatment and management of hospitalized patients with mental health conditions. …”
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Predicting Deep Venous Thrombosis Using Artificial Intelligence: A Clinical Data Approach by Aurelian-Dumitrache Anghele, Virginia Marina, Liliana Dragomir, Cosmina Alina Moscu, Mihaela Anghele, Catalin Anghel

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Editorial: The Artificial Intelligence in Translational Medicine and Biomedical Research, How Future Can be Shaped?!! by Karzan Abdulmuhsin Mohammad

“…The AI based medical diagnosis is also a revolutionary step toward proper diagnosis and consequently, medical intervention. The AI and ML are becoming so intelligent to an extent not to only diagnose the disease but also predict disease prognosis in future. …”
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Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach by Md. Moddassir Alam, Asif Irshad Khan, Aasim Zafar, Mohammad Sohail, Mohammad Tauheed Ahmad, Rezaul Azim

“…By improving malnutrition diagnosis and intervention strategies, this approach has the potential to reduce morbidity and enhance child health outcomes in resource‐constrained settings.…”
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Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy by Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, Silvia Ferdousi, Mosammat Ruma Akter, Mst. Amena Khatun, Most. Hasina Begum, Md Ibrahim Khalil, Mst. Rina Parvin, Daifallah M Alrazeeni, Fazila Akter

“…Background Artificial Intelligence (AI) has demonstrated significant potential in transforming psychiatric care by enhancing diagnostic accuracy and therapeutic interventions. …”
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